IP Library Granted Patent US 11,961,616
Granted Patent B2
US 11,961,616 · App. 18/157,405 · Granted Apr 16, 2024

Real-time monitoring systems and methods in a healthcare environment

Inventors: David Dyell (Panama City, FL); Christopher Rogowski (Newtown Square, PA); Scott Kahler (Tuscaloosa, AL); Jennifer Milan (Westminster, CO)
Assignee: VCCB Holdings, Inc.
G16H40/67A61B5/002A61B5/0024A61B5/02055A61B5/486A61B5/746A61B5/7475G16H40/63G16H50/20G16Z99/00A61B5/1112
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Quick Facts
Patent No.
US 11,961,616
App. No.
18/157,405
Granted
Apr 16, 2024
Kind
B2
Abstract

An apparatus for real time monitoring of a patient is provided and includes a memory element for storing data, a processor that executes instructions associated with the data, an interface that receives sensor data from a sensor that takes measurements from the patient and sends the sensor data according to the sensor's measurement latency, a latency calculator that frequently calculates a latency threshold that varies according to at least a health status of the patient, a timer that continuously monitors the sensor's measurement latency, a comparator that frequently compares the sensor's measurement latency with the calculated latency threshold, and a feedback module that automatically changes the sensor's measurement latency to match with the calculated latency threshold.

Claims (35)

1. A computer-implemented method for real-time health monitoring of a person, the method comprising:

by one or more hardware computer processors integrated with one or more sensors attached to a person:

determining a time between measurements of the one or more sensors attached to the person;

determining one or more latency thresholds based on at least one or more factors;

comparing the time between measurements with the one or more latency thresholds; and

changing a measurement latency of the one or more sensors based on at least the comparison.

2. The computer-implemented method of claim 1 , wherein the one or more factors includes a type of sensor data collected by the one or more sensors.

3. The computer-implemented method of claim 1 , wherein the one or more factors includes sensor data collected by the one or more sensors.

4. The computer-implemented method of claim 1 , further comprising by the one or more hardware computer processors determining a first latency threshold of the one or more latency thresholds associated with a first sensor of the one or more sensors based on at least sensor data from a second sensor of the one or more sensors.

5. The computer-implemented method of claim 1 , wherein the one or more factors includes a dependency of a first sensor of the one or more sensors on a second sensor of the one or more sensors.

6. The computer-implemented method of claim 1 , wherein the one or more latency thresholds includes a first latency threshold that is dependent on a second latency threshold.

7. The computer-implemented method of claim 1 , wherein changing the measurement latency of the one or more sensors includes changing a measurement latency of a first sensor of the one or more sensors based on at least a latency threshold of the one or more latency thresholds associated with a second sensor or a measurement latency associated with the second sensor.

8. The computer-implemented method of claim 1 , further comprising by the one or more hardware computer processors providing a buffer latency to add to or subtract from the one or more latency thresholds based on at least determining available processing capabilities.

9. The computer-implemented method of claim 1 , further comprising by the one or more hardware computer processors providing a buffer latency to add to or subtract from the one or more latency thresholds based on at least network settings.

10. The computer-implemented method of claim 1 , further comprising wirelessly communicating sensor data collected by the one or more sensors over a network to one or more remote computing devices, wherein the one or more factors includes a network latency associated with communicating the sensor data.

11. The computer-implemented method of claim 1 , further comprising wirelessly communicating sensor data collected by the one or more sensors over a network to one or more remote computing devices; and changing the measurement latency of the one or more sensors based on at least a network latency associated with communicating the sensor data.

12. The computer-implemented method of claim 1 , further comprising wirelessly communicating, at determined time intervals, sensor data collected by the one or more sensors over a network to one or more remote computing devices, wherein the determined time intervals are based on at least a network latency.

13. The computer-implemented method of claim 1 , wherein the one or more latency thresholds includes a plurality of latency thresholds associated with at least one of the one or more sensors, wherein each of the plurality of latency thresholds corresponds to a level of importance.

14. The computer-implemented method of claim 1 , further comprising by the one or more hardware computer processors determining the time between measurements of the one or more sensors based on an average time between a plurality of measurements.

15. A monitoring apparatus configured to attach to a person and monitor a health of the person, the monitoring apparatus comprising:

one or more sensors configured to attach to a person and collect sensor data; and

a computer system integrated with the one or more sensors and comprising a computer processor configured to execute software instructions to cause the computer system to:

determine a time between measurements of the one or more sensors;

determine one or more latency thresholds based on at least one or more factors;

compare the time between measurements with the one or more latency thresholds; and

change a measurement latency of the one or more sensors based on at least the comparison.

16. The monitoring apparatus of claim 15 , wherein the one or more sensors includes one or more of a global positioning system (GPS), a blood pressure sensor, a pulse oximeter sensor, a galvanometer, a blood glucose sensor, and a temperature sensor.

17. The monitoring apparatus of claim 15 , wherein the sensor data includes one or more of location information, pulse information, blood pressure information, blood chemical concentration information, temperature information, respiration information, and fluid information.

18. Non-transitory computer-readable media including computer-executable instructions that, when executed by a computing system, cause the computing system to perform operations comprising:

determining a time between measurements of one or more sensors attached to a person;

determining one or more latency thresholds based on at least one or more factors;

comparing the time between measurements with the one or more latency thresholds; and

changing a measurement latency of the one or more sensors based on at least the comparison.

19. The non-transitory computer-readable media of claim 18 , wherein changing the measurement latency of the one or more sensors includes changing a measurement latency of a first sensor of the one or more sensors based on at least a latency threshold of the one or more latency thresholds associated with a second sensor or a measurement latency associated with the second sensor.

20. The non-transitory computer-readable media of claim 18 , wherein the computer-executable instructions, when executed by the computing system, further cause the computing system to perform operations comprising wirelessly communicating sensor data collected by the one or more sensors over a network to one or more remote computing devices, wherein the one or more factors includes a network latency associated with communicating the sensor data.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 12, 2023
From: NANTHEALTH, INC.
To: VCCB HOLDINGS, INC.
Reel/Frame 063926/0754 →
Continuity (8)
Continuation 17528845 · Nov 17, 2021
Continuation 17061853 · Oct 2, 2020
Continuation 16730775 · Dec 30, 2019
Continuation 16410939 · May 13, 2019
Continuation 16146974 · Sep 28, 2018
Continuation 14835709 · Aug 26, 2015
Provisional Application 62042110 · Aug 26, 2014
Related Publication 20230298747A1 · Sep 21, 2023
Cited By (2)
US 12,237,081 US 12,706,210